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Civil-Comp Proceedings
ISSN 1759-3433 CCP: 52
ADVANCES IN COMPUTATIONAL MECHANICS WITH HIGH PERFORMANCE COMPUTING Edited by: B.H.V. Topping
Paper II.1
Data Access Collection and Data Partitioning for NUMA Architectures C.R. Calidonna and M. Mango Furnari
Institute of Cybernetics, Italian National Research Council, Arco Felice, Naples, Italy C.R. Calidonna, M. Mango Furnari, "Data Access Collection and Data Partitioning for NUMA Architectures", in B.H.V. Topping, (Editor), "Advances in Computational Mechanics with High Performance Computing", Civil-Comp Press, Edinburgh, UK, pp 33-40, 1998. doi:10.4203/ccp.52.2.1
Abstract
In this paper we propose an unified approach to manage the
problems of data dependence analysis, unimodular loop transformation
and data partitioning. This approach is based on the
notion of data access descriptor, which captures the way how a
data structure is effectively accessed in the different regions of
a programs. We show that in our approach the previous problems
could benefit of reusing the same kind of information,
saving compiling time. Furthermore, the data access information
could also be used to easily implement a test for the existence
of communication free partition. A description of a new
compiler phase, that collects data access functions, is described
besides a brief description of the test above which need previous
captured data information.
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